{"id":"W2092937521","doi":"10.1063/1.2931563","title":"Numerical integration of exchange-correlation energies and potentials using transformed sparse grids","year":2008,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología","keywords":"Statistical physics; Correlation; Computer science; Computational physics; Physics; Applied mathematics; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123302,0.0004798568,0.000650526,0.000612275,0.0005098486,0.0007574669,0.001115595,0.0007407724,0.002491375],"category_scores_gemma":[0.002786506,0.00028122,0.0007290196,0.0007661712,0.0006778965,0.0007978745,0.001131971,0.001193727,0.0006438172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006701448,"about_ca_system_score_gemma":0.00100428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915561,"about_ca_topic_score_gemma":0.002247766,"domain_scores_codex":[0.9994934,0.0001693801,0.00002374133,0.00003487561,0.0002375122,0.00004117766],"domain_scores_gemma":[0.9990962,0.0004632238,0.00006104463,0.0001477291,0.0001831418,0.00004861971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005190502,0.00004827696,0.0004972123,0.000109696,0.00003382788,0.0001619181,0.00009867472,0.6514555,0.004665671,0.3038566,0.001532904,0.03748788],"study_design_scores_gemma":[0.000006529189,0.000006753076,0.00003518421,0.000003824227,0.000001550124,0.00001452011,0.000004647291,0.9810234,0.0005188826,0.01771286,0.00066747,0.000004341272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01107635,0.0001246293,0.9838557,0.0001321213,0.00005596342,0.00004625159,0.00006423597,0.0002017928,0.004442938],"genre_scores_gemma":[0.2210879,0.0003295567,0.7738723,0.00006891277,0.00004767447,0.00032866,0.0002468911,0.0002199118,0.003798168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002915561,"threshold_uncertainty_score":0.008334517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630453354998938,"score_gpt":0.2588704162173758,"score_spread":0.2325658826673864,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}